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@InProceedings{Adrien02,
author = {Krähenbühl, A. AND Longuetaud, F. AND Morisset, J.-B. AND Colin, F. AND Debled-Rennesson, I. AND Kerautret, B. AND Mothe, F.},
title = {Knot shape assessment on various species through X-ray {CT} scanning},
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@inproceedings{Adrien03,
series = {Lecture Notes in Computer Science},
title = {Knot Segmentation in Noisy {3D} Images of Wood},
copyright = {©2013 Springer-Verlag Berlin Heidelberg},
isbn = {978-3-642-37066-3, 978-3-642-37067-0},
urldate = {2013-10-28},
booktitle = {Discrete Geometry for Computer Imagery},
publisher = {Springer Berlin Heidelberg},
author = {Krähenbühl, A. and Kerautret, B. and Debled-Rennesson, I.},
year = {2013},
keywords = {{3D} segmentation, Algorithm Analysis and Problem Complexity, Computer Graphics, Computer Imaging, Vision, Pattern Recognition and Graphics, Discrete Mathematics in Computer Science, dominant points, geometrical features, histogram, Image Processing and Computer Vision, Pattern Recognition, wood knot},
pages = {383-394},
file = {Snapshot:/Users/kerautre/Library/Application Support/Zotero/Profiles/ch7l9zfi.default/zotero/storage/K9J3CU8K/10.html:text/html}
}

@inproceedings{Adrien01,
series = {Lecture Notes in Computer Science},
title = {Knot Detection in X-Ray {CT} Images of Wood},
copyright = {©2012 Springer-Verlag Berlin Heidelberg},
isbn = {978-3-642-33190-9, 978-3-642-33191-6},
abstract = {This paper presents an original problem of knot detection in {3D} X-ray Computer Tomography images of wood stems. This image type is very different from classical medical images and presents specific geometric structures. These ones are characteristic of wood stems nature. The contribution of this work is to exploit the original geometric structures in a simple and fast algorithm to automatically detect and analyze the wood knots. The proposed approach is robust to different wood qualities, like moisture or noise, and more simple to implement than classical deformable models approaches.},
urldate = {2013-10-28},
booktitle = {Advances in Visual Computing},
publisher = {Springer Berlin Heidelberg},
author = {Krähenbühl, A. and Kerautret, B. and Debled-Rennesson, I. and Longuetaud, F. and Mothe, F.},
year = {2012},
keywords = {Computational {Biology/Bioinformatics}, Computer Graphics, Image Processing and Computer Vision, Information Systems Applications (incl. Internet), Pattern Recognition, User Interfaces and Human Computer Interaction},
pages = {209-218},
file = {Snapshot:/Users/kerautre/Library/Application Support/Zotero/Profiles/ch7l9zfi.default/zotero/storage/F84AP5SI/10.html:text/html}
}
